Senior AI Engineer

Allstate

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: IL
Salary: $100,000–$170,500 / yr
Employment: Full-time
Posted: 166 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $196k

This role $135k

$84k $252k

below market most similar roles pay here above market

This role pays less than 91% of similar roles. Most pay $156,125–$235,750 — the blue band above. At the midpoint, this role pays about $135k versus about $196k for comparable roles.

Based on 240 similar postings.

Employer

About Allstate

The Allstate Corporation is one of the largest publicly held personal lines insurers in the US, widely recognized for its "You're In Good Hands With Allstate®" slogan.

Allstate currently has 52 open roles on FindRole.

Listed pay typically runs $100,000–$170,500 across 51 roles with salary data.

Most-posted roles

View all roles at Allstate

At a glance

TL;DR · Senior AI Engineer

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The Senior AI Engineer joins the Enterprise Intelligence Factory team to build the enterprise Semantic Ontology & Dimension Factory Platform. This role involves designing and implementing agent-driven pipelines to automate semantic mapping, dimension mining, and ontology-driven reasoning. You will develop LLM-powered services for schema understanding and metadata generation while building Python-based microservices and batch pipelines. Key responsibilities include creating RDF/OWL ontologies, implementing SPARQL querying over knowledge graphs, and optimizing dimension generation on Microsoft Fabric using Spark and SQL. The position requires proficiency in Python, GenAI, and agentic AI frameworks like Google ADK or LangChain. You will solve the technical challenge of generating business-ready star schemas from heterogeneous enterprise data sources by integrating semantic reasoning with modern data engineering workflows and AI-assisted data modeling.

What does a AI Engineer earn?

Median $211200 from 139 postings across 39 companies.

See salary data

Skills

Python Large Language Models (LLMs) Agentic AI RDF OWL SPARQL Knowledge Graphs Microsoft Fabric Microsoft Azure LangChain Spark SQL ETL ELT CI/CD MLOps LLMOps Microservices

What you'll do

Design and maintain agentic AI pipelines to automate semantic mapping and dimension mining.
Create and evolve enterprise ontologies in RDF/OWL to enable reusable business semantics.
Engineer LLM-powered services for schema understanding, semantic alignment, and metadata generation.
Implement SPARQL querying and reasoning layers over knowledge graphs for downstream transformations.
Architect Python-based microservices and batch pipelines that integrate semantic reasoning with data workflows.
Build and optimize dimension and fact generation pipelines on Microsoft Fabric to produce star schemas.
Define engineering standards and design patterns for semantic and AI-driven data platforms.
Conduct code reviews and mentor engineers to improve technical quality and delivery velocity.

What we're looking for

6+ years of professional software engineering experience.
Strong proficiency in Python and Generative AI.
Hands-on experience building LLM-based systems using commercial or open-source models.
Solid understanding of semantic technologies including RDF, OWL, ontologies, knowledge graphs, and SPARQL.
Experience designing or working with agentic AI frameworks like Google ADK or LangChain agents.
Strong background in data engineering concepts such as ETL/ELT, star schemas, and metadata-driven pipelines.
Experience building and operating systems on cloud platforms, preferably Microsoft Azure or Microsoft Fabric.
Experience with enterprise data models, semantic alignment, MLOps, or distributed systems (preferred).